Riva

v1.0.0

A powerful MCP server built with NitroStack

Connection Setup

Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):

{
  "mcpServers": {
    // your other mcp servers
    "riva": {
      "url": "https://riva-6a654a65-robotic-raccoons-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
    }
  }
}

Connect remote tools directly via Claude's Web UI:

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Only use connectors from developers you trust. Anthropic does not control which tools developers make available and cannot verify that they will work as intended or that they won't change.

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Configure custom tools directly via ChatGPT's Web UI:

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Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):

{
  "mcpServers": {
    // your other mcp servers
    "riva": {
      "serverUrl": "https://riva-6a654a65-robotic-raccoons-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
    }
  }
}

Add the following configuration block to your Codex configuration file (~/.codex/config.toml):

[mcp_servers.riva]
url = "https://riva-6a654a65-robotic-raccoons-amrita-university-coimbatore.app.nitrocloud.ai/mcp"

Connect directly using the Server-Sent Events endpoint:

https://riva-6a654a65-robotic-raccoons-amrita-university-coimbatore.app.nitrocloud.ai/mcp

Available Tools

find_rides

Find and compare ride options from Uber, Ola, and Rapido between an origin and destination, with an intelligent recommendation.

search_ride_options

Modify constraints on a previous find_rides search — e.g. "find cheaper options" or "show faster rides" — and re-rank/re-filter accordingly.

recommend_best_ride

Recommend the single best ride from a previous search according to a chosen strategy: cheapest, fastest, instant pickup, or best overall value.

set_rider_preferences

Store rider preferences (female driver preference, budget limit, luggage constraints, vehicle exclusions) applied to future ride searches.

get_ride_option_details

Get a detailed explanation of one specific ride option from a previous search.

get_nearby_drivers_map

Show simulated nearby Uber, Ola, and Rapido drivers around a pickup location.

plan_return_trip

Estimate the fare for a future return trip at a given time of day, e.g. "What will my return fare be at 9 PM?"

analyse_driver_trip

Analyze whether a driver should accept an offered ride: gross/net earnings, fuel cost, platform commission, cost per km, hourly earning, destination demand, and an ACCEPT/CONSIDER/REJECT recommendation.

get_destination_demand

Estimate ride demand around a destination: demand level, expected ride availability, expected waiting time, and return-trip probability. Uses simulated demand data.

suggest_next_driver_zone

Recommend where a driver should move next based on simulated demand, time of day, and historical patterns.

get_driver_profitability_summary

Summarize a driver's earnings for a session or day: total earnings, expenses, net profit, average earning per hour/trip/km, and recommendations.

search_nearby_rides

Show simulated incoming ride requests near the driver's current location, ranked by estimated net earning.

set_user_mode

Switch the conversation between Rider Mode and Driver Mode. This should normally be the FIRST tool called in a new conversation — ask the user "Customer or Driver?" before calling it, unless their first message already makes this obvious. Rider Mode surfaces ride discovery/comparison/travel-planning tools; Driver Mode surfaces trip-acceptance, demand, and earnings tools.

travel_concierge

Plan a complete journey around a deadline (e.g. a flight or train): recommends when to leave, accounting for traffic and a safety buffer, and picks the best ride.

ride_later_forecast

Estimate the fare, demand multiplier, and availability for a ride at a future time, e.g. "I need a ride tomorrow at 7 AM."

multi_stop_trip_planner

Plan a trip with one or more intermediate stops, e.g. "campus to airport, stopping at Gandhipuram" — totals distance, time, and fare.

car_pooling_assistant

Simulate matching with a nearby rider on a similar route and recommend whether to pool, e.g. "Can I share this ride?"

sos_emergency

SIMULATED emergency SOS — shares the rider's current location and (if provided) active trip details with simulated emergency contacts. Does NOT contact real emergency services; direct the user to call their local emergency number for real danger.

booking_simulation

Simulates the ride booking lifecycle (Searching → Driver Assigned → Driver Arriving → Trip Started → Completed). Requires searchId + optionId + confirmed:true to actually create a booking — otherwise returns a confirmation preview only. Call again with the returned bookingId to advance the lifecycle.

tool_name